Francesca Randone

Orcid: 0009-0002-3489-9600

According to our database1, Francesca Randone authored at least 12 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
DeGAS: Gradient-Based Optimization of Probabilistic Programs without Sampling.
Proceedings of the Tools and Algorithms for the Construction and Analysis of Systems, 2026

2025
Artifact for Paper Foundations for Deductive Verification of Continuous Probabilistic Programs.
Dataset, June, 2025

Artifact for Paper Foundations for Deductive Verification of Continuous Probabilistic Programs.
Dataset, April, 2025

Foundations for Deductive Verification of Continuous Probabilistic Programs: From Lebesgue to Riemann and Back.
Proc. ACM Program. Lang., 2025

Evolutionary Synthesis of Probabilistic Programs.
Proceedings of the Genetic and Evolutionary Computation Conference, 2025

2024
Inference of Probabilistic Programs with Moment-Matching Gaussian Mixtures.
Proc. ACM Program. Lang., January, 2024

Towards a Probabilistic Programming Approach to Analyse Collective Adaptive Systems.
Proceedings of the Leveraging Applications of Formal Methods, Verification and Validation. REoCAS Colloquium in Honor of Rocco De Nicola, 2024

Symbolic Quantitative Information Flow for Probabilistic Programs.
Proceedings of the Principles of Verification: Cycling the Probabilistic Landscape, 2024

2022
Jump Longer to Jump Less: Improving Dynamic Boundary Projection with h-Scaling.
Proceedings of the Quantitative Evaluation of Systems - 19th International Conference, 2022

2021
Refining Mean-field Approximations by Dynamic State Truncation.
Proceedings of the SIGMETRICS '21: ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems, 2021

Model learning with personalized interpretability estimation (ML-PIE).
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020
Learning a Formula of Interpretability to Learn Interpretable Formulas.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020


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